Knowledge extraction for production management

A procedure and underlying algorithm for extracting knowledge from production and inventory databases to support engineering management activities is described. The process searches for, detects and isolates behaviour patterns inherent in the data. It relates these patterns to production irregularities, suggests connections with specific causes and helps propose possible corrective or preventive actions. The approach is based on a four-phase procedure: (1) the decision-maker focuses on the subject or difficulty at issue, represented by a target concept; (2) the KEDB algorithm, based on a machine learning approach, processes the relevant database and provides knowledge characterizing and classifying the target concept; (3) the output is interpreted in Pareto fashion as a series of possible circumstances explaining the target concept behaviour; and (4) based on these causes, the decision-maker decides on possible corrective actions to improve the situation, or preventive actions to forestall unfavourable conditions. A case study based on an actual quality control database is detailed.     

高压注水在综放工作面的应用

介绍了综采煤层注水软化工艺的原理 ,钻孔布置方法以及生产实际中的应用情况     

The costs and benefits of tonal centers for chord processing.

Harmonic priming studies have shown that a musical context, with its established tonal center, influences target chord processing. This study investigated costs and benefits of priming tonal centers for target processing by adding a baseline condition (sequences without a specific tonal center). Results confirmed harmonic priming, with faster processing for related than for unrelated and less related targets (tonic chord, out-of-key chord, subdominant chord). Comparing targets in baseline contexts with targets in sequences with well-established tonal centers revealed a benefit of processing for related targets but a cost of processing for unrelated and less related targets. Findings are discussed in terms of tonal knowledge activation and suggest that an activated tonal center gives rise to strong expectations for the tonic. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

自动化加工过程的在线质量监测及管理平台的研究

以机器人焊接生产线质量的自动监测及管理为对象，探讨了流水线加工过程通用性质量监控平台的构建方法，采用基于网络的车间级前沿机及服务器，分别实现了现场单个质量监控点的微观质量监测及整个流水线的宏观质量管理；最后探讨了数据集市和数据挖掘技术系统在该系统的应用。     

You said it before and you'll say it again: Expectations of consistency in communication.

Repeated reference creates strong expectations in addressees that a speaker will continue to use the same expression for the same object. The authors investigate the root reason for these expectations by comparing a cooperativeness-based account (Grice, 1975) with a simpler consistency-based account. In two eye-tracking experiments, the authors investigated the expectations underlying the effect of precedents on comprehension. The authors show that listeners expect speakers to be consistent in their use of expressions even when these expectations cannot be motivated by the assumption of cooperativeness. The authors conclude that though this phenomenon seems to be motivated by cooperativeness, listeners' expectation that speakers be consistent in their use of expressions is governed by a general expectation of consistency. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

环境资源负外部性与产权理论的新进展

环境资源共有产权的特性使得社会成员只能通过自身感知和理解确定对环境资源的产权边界，并且产权的实施是非排他的，所以与环境资源有关的负外部性较其他具有直接因果关系的外部性特殊。在治理这类负外部性的过程中，产权理论也有了新的发展。本文从分析环境资源产权的特殊性入手，对于产权弱化、产权分割、创建新产权和自愿合作基础上认知产权调整等负外部性内部化理论进行了分析。     

论高校的创新性学习

创新性学习是针对传统教育忽视大学生的创新意识和创新能力，知识经济对创新人才的呼唤而提出来的。本文阐述了创新性学习的特点，分析了大学生进行创新性学习应具备的四个条件，并就高校开展创造性学习应注意的四个方面提出了看法。     

一个安全有效的身份鉴别协议与对应的数字签名方案

本文利用二元一次不定方程和Schnorr身份鉴别协议，构造出一个新的身份鉴别协议，该协议在RSA问题和离散对数问题是难解的假设下是安全的，同时给出了所对应的数字签名方案。     

商务智能在ERP系统中的应用

ERP系统属于典型的联机事务处理系统,不可避免的存在许多不足,无法提供企业决策所需的决策信息。商务智能是一种正在快速发展的技术,它在ERP中的应用有效的解决ERP存在的问题。     

矿用圆环链弯曲点的角度分布

矿用圆环链弯曲点是应力集中点 ,肩部断裂发生于该点附近 .以 2 6× 92矿用圆环链为研究对象 ,应用方向数据统计导出该点的角度分布 ,并给出了批量检验矿用圆环链尺寸匹配状况的一种方法